A reference architecture.
Not a point solution.
Edge AI Fabric is a distributed architecture that brings artificial intelligence processing closer to data sources. It enables real-time inference, reduced latency, and localised decision-making — transforming every edge node into an intelligent computing asset. This is not a product; it is a full-stack reference architecture that composes Planck Red platforms and partner technologies into a deployable, scalable AI intelligence layer.
How the layerscompose into a system.
Each layer is independently deployable and interoperates through Quanta Cloud orchestration. Together they form a complete, production-ready architecture — not a collection of disconnected products.
Raw data streams from devices, sensors, cameras, and systems — the inputs that need to be processed locally without round-tripping to the cloud.
Q5 nodes handle inference at the edge. Q10 powers AI model training and larger compute workloads — both operating locally for sovereignty and speed.
Quanta Cloud manages the full lifecycle — model updates, workload placement, telemetry. SwissVault retains AI training data. FireBreak isolates critical inference nodes from cyber threats.
Planck Red solutions are not assembled from off-the-shelf parts. Each layer is purpose-built and pre-integrated — reducing deployment complexity and eliminating the integration risk that breaks most enterprise infrastructure projects.
Deploy the full stack, or start with a single layer and extend. Quanta Cloud ensures all components remain orchestrated and visible regardless of how many layers are active.
FireBreak, SwissVault, and vSense AI are embedded at the architecture level — not bolted on. They participate in the orchestration fabric and are managed through Quanta Cloud alongside infrastructure components.
Each Q5 or Q10 unit is a self-contained compute building block. Stack units to match workload demand — no overprovisioning, no stranded capacity. Power, cooling, and compute scale linearly.
Inference workloads run inside isolated execution zones. FireBreak cyber isolation ensures that a compromised edge node cannot propagate laterally — every node is a security boundary.
Measurable outcomes,not architectural promises.
Real-Time Inference
AI decisions happen at the source — no latency from cloud round-trips. Sub-millisecond response for industrial, safety, and financial use cases.
Reduced Cloud Dependency
Compute stays local. Lower egress costs, lower cloud spend, and greater infrastructure control across distributed environments.
Sovereign AI
Data never leaves the jurisdiction. AI models run within sovereign boundaries — compliant with data residency and privacy mandates.
Scalable Deployments
Add Q5 nodes as AI demand grows. The architecture scales horizontally without re-engineering the platform.
Where this architecture applies.
Deploy inferenceat the edge.
Planck Red's solutions are deployable reference architectures — not consulting engagements. Our team works with you to adapt and activate the stack for your specific context and scale.